Effects of innovative technologies on cross-language com-munication between trainees and coaches in professional sports
DOI:
https://doi.org/10.47197/retos.v67.114229Keywords:
Neural machine translation, sports training, multilingual communication, performance metrics, technological interventions, qualitative enhancements, athlete satisfactionAbstract
Introduction: This research examines the integration of Neural Machine Translation (NMT) systems in professional sports training across different languages, addressing the communication barriers that frequently hinder coach-athlete interactions.
Objective: The study aims to assess the efficacy of NMT systems in enhancing cross-language communication clarity and overall training effectiveness, focusing on both athlete and coach experiences.
Methodology: Employing a mixed-methods approach, the study conducted quantitative analyses using Chi-square tests, paired t-tests, and ANOVA, complemented by qualitative feedback through structured interviews. Data were gathered from 160 participants segmented into control and experimental groups to evaluate the impact of NMT integration.
Results: The NMT system significantly improved communication clarity and increased satisfaction levels among athletes and coaches. However, the influence on direct performance metrics was minimal, suggesting that while NMT facilitates communication, it does not directly enhance athletic performance.
Discussion: Comparisons with existing literature reveal that technological interventions mainly enhance qualitative aspects of sports training rather than quantitative performance, underscoring technology's supplementary role in reducing linguistic barriers.
Conclusions: NMT systems enhance communication and satisfaction in multilingual sports training. Future research should investigate long-term effects and refine applications to maximize benefits, confirming their transformative potential.
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Copyright (c) 2025 Alexey Abdulkhassanov, Sandugash Yerdenova, Umirali Turyskulov, Gulmira Zhussipova, Baurzhan Serikbayev, Zhanara Kozhanova, Rakhat Shuakbayeva
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